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AvrideAutonomous Vehicles / Motion planning

Machine Learning Engineer – Motion Planning & Prediction

Austinonsitemid

via Greenhouse

About this role

About the team We build the software that decides how our autonomous vehicles move through the world. Our systems predict the behavior of pedestrians, cyclists, and other vehicles, then plan trajectories that are safe, comfortable, and legible to the people around them. We work at the intersection of machine learning, large-scale data infrastructure, and real-time vehicle control, collaborating across engineering, analytics, and product teams to deliver safe and intelligent driving capabilities. Before you apply: This role requires hands-on experience building systems that predict how other agents will move and deciding how a vehicle or robot should act in response — deployed on real hardware, not only in simulation or research.…

Read the full description on Avride's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, rust, c++, pytorch, tensorflow…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Austin. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonrustc++pytorchtensorflowjaxteams

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